Several add-ins have been created for use in data mining or business analytics courses taught using JMP Pro. Links to these add-ins on the are provided here. Use notes and background information for the add-ins are provided on the individual pages.
Run this add-in to set the random seed to a specified value prior to creating a validation column or running an analysis. Note: the ability to set the random seed has been added to several platforms in JMP 13 Pro.
Split a dataset into train/validate/test partitions, with options for rebalancing the proportions in relation to a focal group. Useful, for example, in oversampling an event that is rare in the original data.
Specify a cut-off value or a range of values to generate a new confusion matrix for a binary response variable. Note: The Profit Matrix in JMP 13 Pro can also be used to change the cutoff for classification.
Informative Missing is available in JMP Pro. This creates the informative missing columns in the data table. Note: Informative Missing is also a column property, and is an option in modeling platforms.
An add-in to partition a time series into Training and Validation sets. The add-in creates a new column, "Validation". Instructions for using this Validation column to manually validate a time series model are provided.